David F. Burke
- Epidemiology top 0.5%
- Molecular Biology top 5%
- Agronomy and Crop Science top 0.5%
- Infectious Diseases top 1%
- Immunology top 5%
- Co-authors
- Tom L. BlundellDerek J. SmithRon A. M. FouchierAlbert D. M. E. OsterhausGuus F. RimmelzwaanTheo M. BestebroerLuca PellegriniSander Herfst
- Topics
- Influenza Virus Research Studies (27 papers)Respiratory viral infections research (19 papers)Protein Structure and Dynamics (16 papers)
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
David F. Burke
63 papers receiving 5.2k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Epidemiology 2.6k
- Molecular Biology 2.2k
- Agronomy and Crop Science 1.1k
- Infectious Diseases 1.1k
- Immunology 591
Countries citing papers authored by David F. Burke
This map shows the geographic impact of David F. Burke's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by David F. Burke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David F. Burke more than expected).
Fields of papers citing papers by David F. Burke
This network shows the impact of papers produced by David F. Burke. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by David F. Burke. The network helps show where David F. Burke may publish in the future.
Co-authorship network of co-authors of David F. Burke
This figure shows the co-authorship network connecting the top 25 collaborators of David F. Burke. A scholar is included among the top collaborators of David F. Burke based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David F. Burke. David F. Burke is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | Towards a structurally resolved human protein interaction networkbreakdown → | 134 |
| 4 | 49 | |
| 5 | 7 | |
| 6 | 8 | |
| 7 | Substitutions Near the Receptor Binding Site Determine Major Antigenic Change During Influenza Virus Evolutionbreakdown → | 433 |
| 8 | 1 | |
| 9 | 8 | |
| 10 | 49 | |
| 11 | 9 | |
| 12 | 19 | |
| 13 | 15 | |
| 14 | 113 | |
| 15 | 28 | |
| 16 | Crystal structure of fibroblast growth factor receptor ectodomain bound to ligand and heparinbreakdown → | 567 |
| 17 | 34 | |
| 18 | 143 | |
| 19 | 65 | |
| 20 | Postoperative pain-related morbidity: Video-assisted thoracic surgery versus thoracotomybreakdown → | 451 |
About David F. Burke
David F. Burke is a scholar working on Agronomy and Crop Science, Epidemiology and Molecular Biology, having authored 64 papers that have together received 5.3k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (27 papers), Respiratory viral infections research (19 papers) and Protein Structure and Dynamics (16 papers). The work is most often cited by research in Agronomy and Crop Science (1.1k citations), Epidemiology (2.6k citations) and Infectious Diseases (1.1k citations). David F. Burke has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Tom L. Blundell, Derek J. Smith, Ron A. M. Fouchier, Albert D. M. E. Osterhaus, Guus F. Rimmelzwaan, Theo M. Bestebroer, Luca Pellegrini, Sander Herfst, Eefje J. A. Schrauwen and Barbara Mulloy. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.